AIS-based method for extracting the process of ship collision avoidance

The analysis of ship avoidance maneuvers is of significant value for assessing the risk of vessel collisions and enhancing ship safety management. A new method has been proposed that utilizes the dynamic spatio-temporal data collected by the Automatic Identification System (AIS) to extract avoidance behaviors. This method integrates navigational rules and maritime practices to determine encounter situations and identify the avoidance process. Validation using actual AIS data has proven the accuracy and effectiveness of the method. It offers an efficient model for extracting encounter and avoidance behaviors from AIS data, providing support for the analysis of ship behavior and research on maritime safety.

Authors

Institutions

Publication Details

Published
2024-12-20
DOI
https://doi.org/10.1117/12.3054624
Citations
1
Primary Topic
Maritime Navigation and Safety
Type
article
Field-Weighted Citation Impact
0.34
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

AIS-based method for extracting the process of ship collision avoidance

Lianfeng Zhang, Weidong Xie, Liujiang Zheng, Longhui Gang et al.
1 citations
Maritime Navigation and Safety
0.34
article

AIS-based method for extracting the process of ship collision avoidance

Lianfeng Zhang, Weidong Xie, Liujiang Zheng, Longhui Gang, Tong Liu
article en
1 citations

Abstract

The analysis of ship avoidance maneuvers is of significant value for assessing the risk of vessel collisions and enhancing ship safety management. A new method has been proposed that utilizes the dynamic spatio-temporal data collected by the Automatic Identification System (AIS) to extract avoidance behaviors. This method integrates navigational rules and maritime practices to determine encounter situations and identify the avoidance process. Validation using actual AIS data has proven the accuracy and effectiveness of the method. It offers an efficient model for extracting encounter and avoidance behaviors from AIS data, providing support for the analysis of ship behavior and research on maritime safety.

Dalian Maritime University (CN)
Openalex Percentile: Top 37%
Maritime Navigation and Safety
0.34
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.